| From: | Dylan Hansen <dhansen(at)pixpo(dot)com> | 
|---|---|
| To: | Matthew T(dot) O'Connor <matthew(at)zeut(dot)net> | 
| Cc: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us>, pgsql-general(at)postgresql(dot)org, Alvaro Herrera <alvherre(at)alvh(dot)no-ip(dot)org> | 
| Subject: | Re: auto-vacuum & Negative "anl" Values | 
| Date: | 2006-06-26 17:40:50 | 
| Message-ID: | E6764273-3A5B-4DA3-8B00-036FCAA74B78@pixpo.com | 
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| Thread: | |
| Lists: | pgsql-general | 
So can I assume that this is a bug?
The only resolution I can see right now is to setup a cron job that  
will perform an ANALYZE periodically, as the pg_autovacuum ANALYZE  
threshold is never reached.
Any other suggestions?  Thanks for the input!
--
Dylan Hansen
Enterprise Systems Developer
On 24-Jun-06, at 4:09 PM, Matthew T. O'Connor wrote:
> Tom Lane wrote:
>> Dylan Hansen <dhansen(at)pixpo(dot)com> writes:
>>
>>> I have been spending some time looking into how auto-vacuum is   
>>> performing on one of our servers.  After putting the PostgreSQL  
>>> logs  in debug I noticed that the threshold for ANALYZE was never  
>>> being hit  for a particular table because the calculated value  
>>> becomes  increasingly negative.
>>>
>>
>> Hmm, it shouldn't ever be negative at all, I would think.  The
>> calculation in question is
>>
>> 	anltuples = tabentry->n_live_tuples + tabentry->n_dead_tuples -
>> 		tabentry->last_anl_tuples;
>>
>> Apparently somehow last_anl_tuples has managed to get to be bigger  
>> than
>> n_live_tuples, which maybe could happen after a delete.  Should we be
>> clamping last_anl_tuples to not exceed n_live_tuples somewhere?
>> Alvaro and Matthew, what do you think?
>
> I think I had something in the contrib version that checked this.   
> I always assumed it would be caused by a stats reset which was more  
> common in earlier PGSQL releases since stats_reset_on_startup (or  
> whatever the correct spelling of that is) was enabled by default.
>
>
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> TIP 9: In versions below 8.0, the planner will ignore your desire to
>       choose an index scan if your joining column's datatypes do not
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>
>
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